PSI - Issue 62

Lucia Simeoni et al. / Procedia Structural Integrity 62 (2024) 499–505 Author name / Structural Integrity Procedia 00 (2019) 000 – 000

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Data Availability Statement The data are not publicly available due to legal agreements between the research institutions and Autostrada del Brennero S.p.A (Brenner Autobahn AG). References Abellán, A., Calvet, J., Vilaplana, J.M., Blanchard, J., 2010. Detection and spatial prediction of rockfalls by means of terrestrial laser scanner monitoring. Geomorphology 119, 162 – 171. Bosellini, A., 1996. Geology of the Dolimites – Bolzano (in Italian), Casa Editrice Athesia S. A. R. L. Corominas, J., Moya, J., 2008. A review of assessing landslide frequency for hazard zoning purposes. Engineering Geology 102, 193-213. Evans, S.G., Hungr, O., 1993. The assessment of rockfall hazard at the base of talus slope. Canadian Geotechnical Journal 30(4), 620-636. Fenti, V., Ruzzier, D., Silvano, S. & Spagna, V., 1981. Landslides in the Isarco Valley between Bolzano and Ponte Gardena (Alto Adige-South Tyrol) (in Italian). Studi Trentini di Scienze Naturali 58, 59 – 130. Ferro, E., Cemin, F., De Rosa, L., Corsini, A., Ronchetti, F., Lelli, F., Vitti, A., Simeoni, L., 2023. GIS-based analysis of the potential effectiveness and efficiency of mobile terrestrial LiDAR to survey and monitor rockfall areas along 15 km of highway E45. In: Ferrari, A., Rosone, M., Ziccarelli, M., Gottardi, G. (eds) Geotechnical Engineering in the Digital and Technological Innovation Era. CNRIG 2023. Springer Series in Geomechanics and Geoengineering. Springer, Cham. https://doi.org/10.1007/978-3-031-34761-0_24. GRASS Development Team, 2020. Geographic Resources Analysis Support System (GRASS) Software, Version 7.8. Open Source Geospatial Foundation. https://grass.osgeo.org, last accessed 2023/02/21. IFFI Project — Inventario dei Fenomeni Franosi. https://idrogeo.isprambiente.it/, last accessed 2022/12/13. Lanfranconi, C., Sala, G., Frattini, P., Crosta, G.B., Valagussa, A., 2020. Assessing the rockfall protection efficiency of forests at the regional scale. Landslides 17, 2703 – 2721. https://doi.org/10.1007/s10346-020-01458-8. Lim, S., Thatcher, C.A., Brock, J.C., Kimbrow, D.R., Danielson, J.J., Reynolds, B.J., 2013. Accuracy assessment of a mobile terrestrial lidar survey at Padre Island National Seashore. International Journal of Remote Sensing, 34(18), 6355-6366, https://doi.org/10.1080/01431161.2013.800658 Macciotta, R., Martin, C.D., Morgenstern, N.R., Cruden, D.M., 2015. Quantitative risk assessment of slope hazards along a section of railway in the Canadian Cordillera — a methodology considering the uncertainty in the results. Landslides 13, 115 – 127. Mignelli, C., Peila, D., Lo Russo, S., Ratto, S.M., Broccolato, M., 2014. Analysis of rockfall risk on mountainside roads: evaluation of the effect of protection devices. Nat Hazards 73, 23 – 35. Rete Civica Alto Adige Homepage, http://geoportale.retecivica.bz.it, last accessed 2022/12/13. RocPro3D Homepage, http://www.rocpro3d.com/rocpro3d_en.php, last accessed 2022/12/13. VISO Homepage, https://maps.civis.bz.it/?context=PROV-BZ-HAZARD, last accessed 2022/12/13. Walton, G., Malsam, A., Oester Mapes, N., Arpin, B., 2023. Forecasting and Mitigating Rockfall based on Lidar Monitoring: A Case Study from Colorado. Transportation Research Record, 2677(10), 863-870. https://doi.org/10.1177/03611981231169530. Weidner, L.; Walton, G., 2021. Monitoring the Effects of Slope Hazard Mitigation and Weather on Rockfall along a Colorado Highway Using Terrestrial Laser Scanning. Remote Sensing 13(22), 4584. https://doi.org/10.3390/rs13224584.